155 results about "Current analysis" patented technology

The invention belongs to the technical field of fault early warning, and discloses a heater fault early warning method and system based on current analysis. Comprising the steps that transient current signals of all heating wire loops in the copper bush heater are collected in real time, harmonic characteristic parameters are extracted, and a dynamic current fingerprint database and a multi-dimensional harmonic characteristic spectrum are generated respectively; dynamically calculating the contact impedance between each heating wire and the copper sleeve groove according to the dynamic current fingerprint database and the multi-dimensional harmonic characteristic spectrum; the current distribution path of each heating wire in the copper sleeve groove is restored in real time, the abnormal contact form of each heating wire is identified, the falling risk probability and falling risk strength of each heating wire are dynamically predicted by fusing the falling precursor signals of each heating wire detected in real time, and a grading early warning strategy report is generated in real time; according to the invention, fault early warning can be converted into preventive maintenance from post-maintenance, the intelligent level of operation and maintenance of the heater is improved, and the continuity and safety of production are guaranteed.

The invention relates to the technical field of NV color centers, and discloses an NV color center magnetic field and current measurement method and system. The method comprises the following steps: performing decomposition and noise reduction on the two to generate target three-dimensional data, and constructing a joint response equation by combining the resonant frequency offset and the fluorescence intensity change value of the target three-dimensional data; and finally, decoupling the equation to obtain a global magnetic field estimation value, and determining a current density distribution diagram according to the value and the vacuum magnetic conductivity. According to the method, the initial signal quality is improved through the quantum coherence enhanced pulse sequence, the influence of interference such as environmental thermal noise on the magnetic field signal is effectively weakened through decomposition noise reduction and joint response equation decoupling, and the magnetic field characteristics are accurately extracted, so that high-precision data support is provided for subsequent magnetic field analysis and current density distribution determination. The technical problem that in the prior art, interference such as environmental thermal noise exists generally, so that initially-collected magnetic field signals are mixed with a large amount of noise, and follow-up magnetic field and current analysis is seriously affected is solved.

The invention relates to the technical field of electrical insulation detection, in particular to a composite insulation on-line monitoring method and device used in the running state of a middle-high voltage motor. According to the method, key parameters such as low-frequency alternating-current leakage current, voltage response characteristics and insulation resistance change values are synchronously collected through a modular monitoring terminal in the operation process of a motor, and a multi-parameter diagnosis vector is constructed by combining low-frequency leakage current analysis and direct-current excitation measurement technologies; and feature extraction, comparative analysis and health level evaluation are carried out by using an edge computing terminal, so that four-level classification of the insulation state is realized. The matched device comprises a monitoring terminal, a data communication module, an edge computing intelligent terminal and an industrial-grade touch display module, has the functions of local storage, breakpoint resume, authority management and the like, can be widely applied to operation maintenance and fault early warning of a middle-high voltage motor, and improves the operation safety and the operation and maintenance intelligent level of equipment.

The invention discloses a sample self-relay method for laboratory real-time quality control and an automatic system, and belongs to the technical field of clinical laboratory automatic quality control. According to the method, an independent quality control cycle is established for a plurality of preset key concentrations, and a concentration-bias and concentration-inaccuracy mapping table is established based on historical quality control data. Independent counting is maintained for each target concentration, when the detection number reaches the length L of the current analysis batch, quality control is automatically triggered, two patient samples with the concentrations meeting the requirements are screened from the current detection batch to serve as a self-relay quality control sample pair, and judgment is conducted according to the rule of 1-3 s after returning and re-detection. And meanwhile, querying a mapping table according to the actual concentration of the sample to calculate a sigma value, querying a preset sigma-L mapping table based on the sigma value, and dynamically updating the next analysis batch length of the target concentration. Each cycle operates independently and asynchronously to form a closed loop, so that accurate, automatic and real-time quality control of different concentrations and different frequencies is realized, and the implementation bottleneck of personalized 6 sigma quality control in cost and reliability is overcome.

The invention discloses a low-voltage cabinet and an operation environment monitoring and early warning system thereof, and belongs to the technical field of low-voltage electrical equipment monitoring. The system comprises an information acquisition module, an electromagnetic environment analysis module, an in-cabinet environment analysis module, an operation activity analysis module, a temperature-leakage current analysis module and a flow rate optimization module. A plurality of environmental coefficient and collaboration models are constructed by collecting various indexes such as electromagnetism, gas, air pressure, operation frequency and the like, temperature and leakage current thresholds are dynamically calibrated, and the air velocity in the cabinet is optimized based on a temperature-leakage current collaboration coefficient and an operation activity coefficient. The system can comprehensively sense the operation state of the low-voltage cabinet, achieves precise early warning and intelligent ventilation, and effectively improves the operation safety and energy efficiency level of equipment.

The invention provides a picoampere-level current measuring device and method with leakage estimation and digital compensation, and the device comprises an electrometer-level operational amplifier and a transimpedance feedback network which are used for converting a measured current into a voltage signal; in combination with a retaining ring conductor driven by a retaining ring buffer and an inner and outer double-layer metal shielding structure, high-resistance node leakage and external interference are remarkably reduced. The digital controller injects 5mV-50mV micro excitation into the retaining ring in a non-sampling window and detects output response so as to estimate input equivalent leakage conductance and perform online compensation; and meanwhile, environment self-adaptive correction is carried out according to a temperature and humidity-leakage admittance model. The system adopts a 24-bit analog-to-digital converter, two-stage zero-drift amplification and multi-point linearity calibration can be switched, picoampere-level current measurement with high precision, low noise and wide dynamic range is realized, and the system is suitable for the fields of high-insulation detection, light current measurement, electrochemical micro-current analysis and the like.

The application discloses a fault current analysis method and system of a multi-terminal flexible DC circuit, wherein the method comprises the following steps: analyzing fault current data when a modular multilevel converter DC side is short-circuited to obtain time sequence segmentation rule data; performing equivalent processing on the modular multilevel converter based on the segmentation rule data to obtain an equivalent circuit model comprising an RLC series circuit and a time-varying current source; constructing a second-order differential equation describing the fault current according to the equivalent circuit model, and solving the second-order differential equation to obtain a fault current expression containing dynamic AC feed-in; constructing a fault equivalent network of the multi-terminal flexible DC circuit; constructing a state space equation of the fault equivalent network based on a branch current method and the fault current expression, and solving the state space equation to obtain fault current data of the multi-terminal flexible DC circuit. The method improves the accuracy of fault analysis.

The invention discloses a training method and device for an electroencephalogram data analysis model and electronic equipment. The method comprises the steps that electroencephalogram training data are collected; the electroencephalogram training data is electroencephalogram signals formed when the target object controls a cursor in a preset training graph to move according to a preset intention; analyzing the electroencephalogram training data based on the current analysis model to obtain a cursor brain control signal; the current analytical model is determined from a historical model library; determining a control result based on the current brain control proportion and the cursor brain control signal; training a preset model to obtain an electroencephalogram data analysis model, and storing the electroencephalogram data analysis model to a historical model library; meanwhile, the current brain control proportion is adjusted based on the control result, the process is repeated till training is finished, and the current analysis model after training is finished is determined as the target electroencephalogram data analysis model. According to the training method, the electroencephalogram data analysis model can be efficiently and conveniently trained, so that the model is periodically and rapidly updated, and the model in actual use can adapt to changes of physiological features of a user.

The invention discloses a DC fault current analysis and calculation method suitable for multi-type MMC converters, and the method comprises the steps: determining the topology type of an MMC converter related to a fault line, and collecting core parameters; constructing an RLC series unified equivalent circuit model of the MMC, and correcting the RLC series unified equivalent circuit model based on the topology type to obtain an equivalent circuit correction model; and determining a DC fault current based on the equivalent circuit correction model. According to the method, a technical architecture of'unified modeling + differential correction 'is constructed, multiple types of MMC converters are abstracted into an RLC basic equivalent model, local parameter correction is carried out only for fault characteristic differences of different topologies, and the tedious process of repeated modeling is effectively avoided; meanwhile, converter active current limiting strategies such as locking and negative input control are considered in the modeling process of fault current analytical calculation, the model architecture has good expansibility, various control strategies can be flexibly fused, and deep fusion of the electromagnetic transient process and the control process is achieved.

Embodiments of the present application provide a method, medium and electronic device for automatic data analysis, the method comprising: obtaining an original data file and a current analysis target; obtaining a target data table according to initial data characteristics of the original data file; obtaining updated data characteristics corresponding to the original data file according to the target data table; inputting the updated data characteristics and the current analysis target into a pre-constructed analysis method recommendation knowledge base to obtain a candidate analysis method set; performing effect simulation pre-evaluation on at least part of the analysis methods in the candidate analysis method set according to the target data table to obtain real-time performance evaluation indexes of each method; obtaining a target analysis method selected for the current analysis target based on a reinforcement learning decision model; and analyzing the target data table using the target analysis method to generate an analysis result.

The application provides a power system stability analysis method based on impedance measurement data, comprising determining that the current analysis condition is a condition corresponding to an equivalent circuit diagram based on a converter topology structure diagram, wherein a disturbance voltage source is in series or a disturbance current source is in parallel; under the current analysis condition, disturbance voltage components and disturbance current components generated on the converter side are obtained to obtain converter impedance measurement data carrying amplitudes and phase angles at several frequency points, and disturbance voltage components and disturbance current components generated on the power grid side are obtained to obtain power grid equivalent impedance measurement data carrying amplitudes and phase angles at several frequency points; the converter impedance measurement data and the power grid equivalent impedance measurement data at the same frequency point are compared, and according to each comparison result, the risk of oscillation instability of the power system is judged. The application is implemented to reduce the complexity of impedance measurement operation, thereby improving the analysis accuracy.

This application discloses a method and apparatus for constructing a parallel current source model for IGBT turn-off current analysis. The main scheme is as follows: Based on the physical nature of the IGBT turn-off current decrease process, it is revealed that it includes two synchronously occurring sub-processes (the carrier injection process and the carrier recombination reduction process corresponding to MOSFET turn-off); the IGBT turn-off current is defined as the parallel superposition of the currents (injection current and recombination current) generated by these two sub-processes; this abstract "dual current" physical theory is transformed into an equivalent circuit composed of a controlled source and a current source connected in parallel; the two sub-processes are analyzed in this way: for the first sub-process, a first relationship characterizing the dynamic evolution law of the injection current is derived; for the second sub-process, a second relationship characterizing the dynamic evolution law of the recombination current is derived; finally, by combining these two relationships, a parallel current source model for quantitatively characterizing the IGBT turn-off current decrease process is constructed.

This invention relates to the field of power management and anomaly detection technology, specifically to a method and system for detecting anomalies in multi-port charging power supplies based on current analysis. It is applied to a charging system containing multiple load power supply buses and several branch switching transistors. The method includes: extracting and sampling AC ripple current from the total current signal of the multiple load power supply buses and each branch; performing delay mapping on the AC ripple current to construct a multi-dimensional phase space matrix and calculate a Poincaré cross-section scatter plot; calculating the current topological information entropy based on the scatter distribution probability and comparing it with the baseline information entropy to generate an information entropy residual; comparing the information entropy residual with a safety manifold boundary threshold range, determining a charging anomaly when it exceeds the threshold, outputting a hardware interrupt signal to control the state of the corresponding branch switching transistor, and generating a diagnostic report containing physical feature parameters extracted based on the multi-dimensional phase space matrix. This invention enables early identification of anomalies in multi-port charging systems and rapid hardware-level response.

The utility model relates to an antistatic detection device for cloth. The antistatic detection device comprises a supporting mechanism and a measuring mechanism, the supporting mechanism comprises a bottom plate, a rotating table and a supporting plate; the rotating table is rotationally arranged on the bottom plate and is always kept in a vertical state; the supporting plate is fixed to the top of the rotating table, and the upper surface of the supporting plate is always kept in a horizontal state. The measuring mechanism comprises two measuring modules and a current analyzer; the two measuring modules are arranged on the bottom plate; the measuring module comprises a supporting column, a cross rod, an electric telescopic rod and an electrode detection head; the supporting column is vertically fixed on the bottom plate; one end of the transverse rod rotationally sleeves the upper part of the supporting column; the electric telescopic rod is vertically mounted at the end part of the outer side of the cross rod; the electrode detection head is arranged at the bottom of the electric telescopic rod; and the current analyzer is arranged on the bottom plate and is electrically connected with the two electrode detection heads. According to the utility model, the distance between the two electrode detection heads can be quickly and effectively adjusted, and meanwhile, the cloth can be rotated on the rotating table to detect different positions of the cloth.

This invention relates to the technical field of circuit breaker analysis, specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. The system includes: a current analysis module for analyzing changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices; a temperature analysis module for analyzing changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices; an identification module for identifying at least one first index and at least one second index; a consistency analysis module for analyzing the consistency between the data sequences corresponding to the first index and the data sequences corresponding to the second index to obtain multiple time-related indices; and an opening / closing determination module for determining the monitoring time indicated by the current data corresponding to the largest time-related index as the opening / closing time of the circuit breaker. This invention enables accurate acquisition of the opening and closing time of the circuit breaker.

The invention belongs to the technical field of underground structure tests, and provides an underground structure hybrid test system considering stratum loss and a control method.The system comprises a numerical substructure used for determining boundary node displacement on an interaction boundary corresponding to a current analysis step; the virtual test substructure is used for calculating a boundary node force according to the boundary node displacement and the current gravity, obtaining a node force simulation value by combining a similarity coefficient, and further determining a concentrated force for loading; the test substructure is used for acquiring loading force and displacement data through concentrated force; and the parameter inversion module is used for performing inversion on the loading force and the displacement data to obtain material parameters under the current boundary condition so as to update the numerical model and the boundary node force of the test substructure and further determine the target unbalanced force, so that the interaction boundary between the structures meets displacement coordination and force balance. According to the system, refined simulation of a multi-field coupling mechanism under complex geological conditions is realized, and the stratum loss simulation accuracy is improved.

The invention discloses a sensorless field-oriented control motor driving method and device for a molecular pump, and relates to the technical field of molecular pumps, and the method comprises the steps: S1, starting a motor, and obtaining related data; s2, positioning a rotor; s3, rotor acceleration; s4, judging whether a stable condition is met or not, if so, entering S5, and otherwise, returning to S3; s5, obtaining related data; s6, whether the rotor speed reaches the standard or not is judged, if yes, S13 is executed, and if not, S7 is executed; s7, analyzing the current component and the current; s8, analyzing a back electromotive force component; s9, analyzing a rotor angle estimation value and an angular velocity estimation value; s10, outputting a voltage instruction; s11, generating and compensating a PWM driving signal; s12, driving the three-phase inverter, and returning to S5; s13, judging whether to stop or not, if so, stopping, and if not, stably operating; counter electromotive force estimation, rotor angle tracking, current control and starting and closed-loop switching processes are cooperatively designed, so that the problem of insufficient suitability of a traditional scheme in application of the molecular pump is solved, and the high-speed and high-torque requirements of the adaptive molecular pump are met.

The invention provides a network flow analysis method, device, equipment and medium, and the method comprises the steps: analyzing a packet header of any data packet, and when the packet header of any data packet is analyzed to a tunnel encapsulation layer protocol, if the tunnel encapsulation layer protocol is a multi-protocol label switching protocol, sending the packet header of any data packet to a network; the method comprises the following steps of: storing a first analysis result which comprises metadata extracted from header information of each layer of protocol which is analyzed at present when a label stack of a multi-protocol label switching protocol is analyzed and a protocol type identifier which cannot be analyzed exists in a current analysis position of the label stack of the multi-protocol label switching protocol is identified, and then returning to an initial analysis position of the label stack so as to obtain a second analysis result which comprises metadata extracted from header information of each layer of protocol which is analyzed at present; and determining a target analysis protocol from the protocol feature library, and performing analysis again from the initial analysis position to obtain a second analysis result, thereby determining a stream analysis result based on the first analysis result, the second analysis result and third analysis results of the remaining protocols. According to the embodiment of the invention, information loss in an analysis process can be avoided.

The invention relates to the technical field of power electronic devices, in particular to a lightning arrester testing device and method, and the device comprises a first chamber, a second chamber and a third chamber which are provided with a passive shielding layer and an active shielding layer. The first chamber is provided with a first acquisition unit; the second chamber is used for extracting a leakage current component and a pulse response signal component from the mixed signal output by the first acquisition unit, and calculating a resistive current according to the leakage current component; the main control unit is used for analyzing a pulse response signal component to obtain a discharge counting result, and the signal processing unit is used for receiving and transmitting an electromagnetic interference signal detected by the active shielding layer to the main control unit, responding to an elimination instruction of the main control unit and generating and outputting an anti-interference signal; and the third chamber is provided with a pulse output unit which is used for responding to a pulse output instruction of the main control unit and outputting a corresponding pulse signal to the lightning arrester, so that the technical problem that a leakage current test and a discharge counting test are difficult to carry out simultaneously by an existing lightning arrester test device is solved.

This invention discloses an automated operation and maintenance method, system, device, and medium for new electricity meters in a distribution network. The method includes: responding to a new meter association request uploaded by a metering terminal to verify if the new meter address exists in a preset metering archive; if not, creating a temporary file for the new meter and issuing a topology identification command to the metering terminal; receiving characteristic current analysis results and new meter data from the metering terminal; updating the temporary file based on the characteristic current analysis results, branches, phases, and new meter data, and synchronizing the updated temporary file to the marketing master station; receiving the operation and maintenance handheld device verification results forwarded by the marketing master station; if the verification passes, instructing the marketing master station to convert the temporary file into a formal marketing file, and instructing the metering terminal to write the formal marketing file into the new meter to achieve operation and maintenance. Therefore, this application can achieve efficient, accurate, and automated operation and maintenance management after the installation of new meters.

This invention relates to the field of transformer monitoring technology, specifically to an online monitoring device and handling system for grounding current of transformer core and clamps. The system includes a data acquisition module, a current analysis module, a linkage analysis module, an early warning determination module, and a fault determination module. First, it analyzes the current surge and relative stability of the current data to determine the linkage characteristic of the current surge; then, it removes background current to obtain the true fault current; it determines the synchronization of the linkage response time between current and temperature; combining the linkage characteristic of the current surge and the synchronization of the linkage response time, it determines the early warning value for a metallic grounding fault; when the early warning value for a metallic grounding fault exceeds the preset normal early warning range, it compares the characteristics of different fault locations at the current moment with those in the historical database to obtain the fault location corresponding to the current moment. This invention achieves intelligent fault location determination.

The present disclosure provides a method for providing a quotation, relating to the technical field of artificial intelligence. The method for providing a quotation comprises: obtaining a current transaction dialogue and extracting transaction basic information therefrom; respectively analyzing transaction demand analysis on the current transaction dialogue based on a large corpus and a small corpus, the small corpus comprising a corpus constructed for an initiator of the current transaction dialogue; calculating a group stability index of the small corpus according to a historical analysis result of the small corpus; determining at least one of the large corpus and the small corpus as a target corpus according to the group stability index; and generating a reference quotation matched with the current transaction dialogue according to the transaction basic information and a current analysis result of the target corpus. The present disclosure also provides a device for providing a quotation, equipment, a storage medium and a program product.

The utility model discloses a multifunctional earth screen monitoring device which at least has the following beneficial effects: a power supply module; the control module is connected with the power supply module; the intelligent analysis module is connected with the control module, and the intelligent analysis module is used for obtaining the peak value, the wave head time, the wave tail time and the gradient of the lightning stroke current; and the lightning stroke current detection module is connected with the intelligent analysis module, and the lightning stroke current detection module is arranged on the earth screen main line and is used for obtaining the transient waveform of the lightning stroke current. According to the technical scheme of the embodiment, the lightning stroke type and the corrosion degradation trend of the ground screen can be effectively judged.

The invention relates to the technical field of anode current collection and analysis, and discloses an aluminum-silicon alloy electrolytic cell anode current distribution detection and analysis method and system, and the method comprises the steps: presetting a preset measurement point and a measurement distance, collecting a bus voltage based on an equidistant collection method, and carrying out the conversion to obtain the anode current of each measurement point; performing multiple times of anode current acquisition on the aluminum-silicon alloy electrolytic cell based on the acquisition timestamps to obtain a plurality of anode current distribution factors, and transmitting the anode current distribution factors to a server; performing current analysis on the anode current and the ideal anode current, and determining an anode current distribution factor; the anode current analysis coefficient is calculated according to the anode current distribution factor of the preset measurement point, a guide production strategy is generated, real-time and accurate collection and detection of the anode current are achieved, and dynamic and accurate analysis of the anode current is achieved according to time sequence changes and current data changes. Production is guided for anode effect forecast, hammer head long ladle forecast, homogenization polar distance, alloy mother liquor fluctuation forecast and the like.

Some embodiments of the disclosure provide a water quality inspection method and a floating device of water quality inspection based on a microcontroller. In some examples, the method includes: acquiring a first inspection value, adjusting the frequency and amplitude of an excitation voltage, acquiring a second inspection value, and characterizing the water quality condition at a second moment. The floating device includes an inspection module, an indication module, an analysis module, a power supply module, a control module, and a carrier. The inspection module has a first electrode and a second electrode. The power supply module, the analysis module, and the control module are integrated into the microcontroller. When the water quality inspection program is executed, the power supply module applies an excitation voltage between the first electrode and the second electrode, the analysis module analyzes the electrolyte content based on a current.

The invention discloses an intelligent analysis method and system fusing a space-time knowledge graph and structured reasoning, and the method comprises the steps: firstly collecting multi-source event data, carrying out the element analysis, and extracting structured data comprising entities, events, attributes, spatial positions and time elements; then converting the analyzed structured data into a triple form, writing the triple form into a space-time knowledge graph, and dynamically retrieving a local sub-graph related to the current analysis object in the space-time knowledge graph by taking event semantics, a spatial position and a time element as constraint conditions; and introducing the screened local sub-graph as an external knowledge constraint into a reasoning process of an intelligent reasoning model based on chain reasoning to realize intelligent analysis under the spatial-temporal knowledge constraint. According to the method, multi-dimensional information analysis, traceable reasoning analysis and result generation of the multi-source event data are realized, so that the reliability and response efficiency of intelligent analysis and decision support in a complex scene are improved.

The embodiment of the invention provides a performance monitoring method and related equipment, and belongs to the technical field of big data. The method comprises the following steps: acquiring a system attention index, a current time range and a current node dimension; extracting and screening database data based on the system attention index, the current time range and the current node dimension to obtain current data; acquiring a water level rule corresponding to the system attention index; judging whether the current data has a bottleneck or not based on a system program water level rule and a machine resource water level rule through the large language model, and if the current data has the bottleneck, determining a bottleneck type and abnormal data through the large language model; and generating a current analysis report based on the bottleneck type and the abnormal data through a large language model. According to the embodiment of the invention, the performance problem in the big data link can be found and solved in time, an analysis result can be provided for the performance problem on the big data link, and a user can visually know the bottleneck condition.

The application discloses an analysis task perception method fusing a deep learning model and rules, first designs and realizes a workshop system, holds a workshop to obtain data, screens and collates operation sequence data, annotates analysis task labels for views according to notes written by users, and obtains effective data; determines input and output formats of the model according to user operation classification, the input is a reorganized user operation sequence, and the output is scores predicted for each task; uses the model to output prediction scores of each analysis task according to a current operation sequence of the user, and determines prediction results of each analysis task according to rules between column preferences of the user, current column attributes and the analysis task. The application makes up for the deficiency of task perception in existing task-driven automatic visualization, can predict the current analysis task of the user, makes task perception more convenient and intelligent, and makes the perception of the analysis task more humanized.

The invention discloses an intelligent resource management system and method for a dense substation, relates to the technical field of intelligent management of substations, and solves the problems that when intelligent noise reduction management is carried out on the dense substation, noise reduction delay is caused by neglect of management and control according to real-time external data resources; and personalized management is difficult to carry out according to surrounding and internal conditions of the dense substation. According to the method, the analysis time period is planned, the background volume of the next analysis time period is obtained based on the background volume of the current analysis time period, the environmental data is analyzed to obtain the number of people in the next analysis time period, and the equipment temperature is analyzed to obtain the equipment temperature of the next analysis time period; obtaining a subtraction factor based on the background volume and the number of people in the region in the next analysis period, and controlling the dense substation in the next analysis period based on the subtraction factor and the equipment temperature; the intelligent level of transformer substation management can be improved, and the influence of the transformer substation on surrounding residents is reduced.